Super-paramagnetic clustering of yeast gene expression profiles [PDF]
Gad Getz+3 more
openalex +1 more source
Gene expression profiling in B-cell non-Hodgkin lymphomas
BACKGROUND: Gene expression profiling has become a fundamental tool in cancer diagnosis and management. B-cell non-Hodgkin lymphoma (B-NHL) is a group of malignant neoplasms originating from the lymphoid tissues, mainly the lymph nodes and the gene ...
Renas N. Saleem, Ahmed Khudair Yassin
doaj +1 more source
Breeding high yielding water-deficit tolerant rice is considered a primary goal for achieving the objectives of the sustainable development goals, 2030.
Hayat Ali Alafari+7 more
doaj +1 more source
Gene Expression Profiling by DNA Microarrays and Metabolic Fluxes in Escherichia coli [PDF]
Min‐Kyu Oh, James C. Liao
openalex +1 more source
A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks [PDF]
Systematic characterization of biological effects to genetic perturbation is essential to the application of molecular biology and biomedicine. However, the experimental exhaustion of genetic perturbations on the genome-wide scale is challenging. Here, we show that TranscriptionNet, a deep learning model that integrates multiple biological networks to ...
arxiv
Fundamental patterns underlying gene expression profiles: Simplicity from complexity [PDF]
Neal S. Holter+5 more
openalex +1 more source
Gene expression profiling in multiple sclerosis brain
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system and the leading cause of non-traumatic neurological disability in young adults in the United States and Europe.
Ranjan Dutta, Bruce D. Trapp
doaj
Chromatin fine structure profiles for a developmentally regulated gene: reorganization of the lysozyme locus before trans-activator binding and gene expression [PDF]
Joanna Kontaraki+3 more
openalex +1 more source
Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction [PDF]
Prediction of mRNA gene-expression profiles directly from routine whole-slide images (WSIs) using deep learning models could potentially offer cost-effective and widely accessible molecular phenotyping. While such WSI-based gene-expression prediction models have recently emerged within computational pathology, the high-dimensional nature of the ...
arxiv